, simply because there are vs if we let x= be the

These two phrases are not directly comparable as they serve different purposes. The first phrase is used to provide a reason or explanation, while the second phrase is used to introduce a mathematical expression. They are used in different contexts and cannot be interchanged.

Last updated: March 15, 2024 • 670 views

, simply because there are

This phrase is correct and commonly used in English to provide a reason or explanation for something.

This phrase is used to introduce a reason or explanation for a statement or action. It is typically followed by the reason or cause.

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16 hours ago ... You're arguing that this isn't important simply because there are other important issues out there. Surely two important issues can co-exist?
Oct 2, 2014 ... Social media, just like everything else, is imperfect, but simply because there are a few downfalls does not negate all the good it can create.
It gives a gene a better chance of getting passed on to the next generation simply because there are more of them. Over-replication can occur when one gene is ...
The problem: only a small percentage of dogs and cats entering shelters ever get adopted, simply because there are far more available animals than there are ...

if we let x= be the

This phrase is correct and commonly used in mathematical contexts to define a variable or set up an equation.

This phrase is used in mathematics to assign a value to a variable or to set up an equation. It is followed by the assignment or equation.

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Hence if we let x be the n-th element, then x = n2. Hence n = x1/2. But the element next to x is (n+1)2 which is equal to n2 + 2n + 1. By substituting n = x1/2 into ...
Solution: If we let x be the distance from C to D, then the running distance is |DB| = 8 − x and the Pythagorean Theorem gives the rowing distance as. |AD| =.
Is there a priori evidence of gender discrimination? If we let X be the number of female applicants selected, then X. Hypergeo.n; D; N /, with n D 3; D D 5; N D 10.
Solution: If we let X be the random variable which is the randomly choosen student's score. We are give µ = E(X) = 60, and σ = 10. We wish to fine P(X > 72).

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, simply because there are vs if we let x= be the